Adaptive power allocation with energy efficiency in 5 g multitier networks using a hybrid heuristic approach

Nowadays, the cellular network has become a part of every human being's life. Cellular communication, hand in handwith information technology, has reduced the physical work performed by people. As there is great improvement anddevelopment in the fields of electronics and communication, the accumulation of data has also increased at a high rate.One of the cons observed due to the development of huge data is data traffic. The currently used 4G mobilecommunication technology is facing congestion, reduced capacity, shortages in bandwidth, slower data rate problems,and interference. The technology is equipped to connect with a large number of devices, overcoming the issue ofnetwork traffic that arises in 4G communications. Recent growth in technology has given the best solution with 5G
communication. This proposed study focuses on the energy-efficient power allocation in a 5G multitier heterogeneousnetwork , which consists of relays, deployment of small cells, and device-to-device communication. Here, a newmethodology like Hybrid Heuristic algorithm is proposed for Adaptive Power Allocation with Energy Efficiency in 5GMultitier Networks which is a combination of ACO (Ant Colony Optimization) and PSO (Particle Swarm Optimization)algorithms to produce an efficient power allocation scheme for 5G downlink systems. The novelty of this researchwork is the integration of two optimization algorithm for adaptive power allocation in 5G network. The average SNIRvalue of the proposed Heuristic Approach is compared with the existing algorithms like SOA, and NCOL based on D2Duser, micro user and pico user. The proposed
Heuristic technique average system energy efficiency, and average systemspectral efficiency also calculated and compared with the existing techniques such as SOA and NOCL.